
Connect Cognee to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn messy, unstructured data into a searchable web of facts.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 4 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 4 available through Cognee.
- 01
Cognee add data
This capability ingests raw text or documents into your Cognee datasets. It serves as the entry point for all your data before the graph is built.
- 02
Cognee cognify
This capability processes your ingested data to extract entities and build the actual knowledge graph structure. It handles the heavy lifting of identifying relationships and generating embeddings.
- 03
Cognee search
This capability lets you query your knowledge graph using natural language. It uses graph traversal and semantic search to return context-aware answers.
- 04
Cognee get insights
This capability retrieves structured entity relationships to reveal hidden connections across your knowledge base.
Real work
What teams actually run
Complex Research
Connect multiple research papers to find non-obvious links between different scientific discoveries.
Deep Document Analysis
Ingest legal or technical documents to map out the relationships between different clauses and entities.
Advanced Agent Reasoning
Give your AI agent a structured memory that allows it to follow logical chains of thought through a graph.
Knowledge Base Organization
Transform a pile of disorganized notes into a structured, searchable intelligence hub.
Automate a task
Put Cognee to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Cognee works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Cognee to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
920ms average. Fast in production.
Cognee is checked daily against the live service.
- Fastest day
- 674ms
- Slowest day
- 1048ms
- 14-day trend
- Stable+4%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Cognee, so you can see the experience inside your AI.
It does not authenticate your account with Cognee. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Cognee Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Cognee capabilities are ready to use.
{
"mcpServers": {
"cognee-mcp": {
"url": "https://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Cognee in Claude and other AIs
Who it's for
Built for the work Cognee owners hand off.
This MCP is built for anyone needing to move beyond basic document retrieval toward deep reasoning.
- 01
AI Engineers
Building advanced RAG pipelines that require relationship-aware reasoning.
- 02
Data Analysts
Turning massive sets of unstructured documents into structured, queryable insights.
- 03
Knowledge Managers
Organizing complex organizational information into a searchable, interconnected graph.
FAQ
Questions Cognee owners ask.
- 01
How is Cognee different from standard RAG?
Standard RAG relies on vector similarity to find text snippets. Cognee builds a knowledge graph that understands the specific relationships between entities, allowing for much deeper reasoning.
- 02
What kind of data can I ingest?
You can ingest raw text, documents, or structured data into named datasets for processing.
- 03
Do I need to host the Cognee infrastructure?
No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.
- 04
Can my AI agent use this for reasoning?
Yes, the graph-aware search and entity relationship capabilities are designed specifically to help your agent reason through connected facts.
- 05
What clients are compatible with this MCP?
This MCP works with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 06
What search types are available?
Cognee supports four retrieval strategies: GRAPH_COMPLETION (default. combines vector search + graph traversal + LLM reasoning for context-aware answers), SUMMARIES (fast hierarchical overview search), INSIGHTS (structured entity relationships), and CHUNKS (pure vector similarity for raw text passages). Each strategy optimizes for different use cases.
- 07
Is Cognee open-source?
Yes! Cognee is fully open-source under the Apache 2.0 license. You can self-host the entire platform including the knowledge graph engine, vector database, and API server. A managed cloud version with API keys is also available for teams that prefer not to manage infrastructure.
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Connect Cognee to Claude, Cursor, ChatGPT & more
